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Billing, E., Rosén, J. & Lindblom, J. (2019). Expectations of robot technology in welfare. In: : . Paper presented at The second workshop on social robots in therapy and care in conjunction with the 14th ACM / IEEE International Conference on Human-Robot Interaction (HRI 2019), Daegu, Korea, March 11–14 2019.
Open this publication in new window or tab >>Expectations of robot technology in welfare
2019 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

We report findings from a survey on expectations of robot technology in welfare, within the coming 20 years. 34 assistant nurses answered a questionnaire on which tasks, from their daily work, that they believe robots can perform, already today or in the near future. Additionally, the Negative attitudes toward robots scale (NARS) was used to estimate participants' attitudes towards robots in general. Results reveal high expectations of robots, where at least half of the participants answered Already today or Within 10 years to 9 out of 10 investigated tasks. Participants were also fairly positive towards robots, reporting low scores on NARS. The obtained results can be interpreted as a serious over-estimation of what robots will be able to do in the near future, but also large varieties in participants' interpretation of what robots are. We identify challenges in communicating both excitement towards a technology in rapid development and realistic limitations of this technology.

Keywords
attitudes towards robots, human-robot interaction, robots in healthcare
National Category
Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-16691 (URN)
Conference
The second workshop on social robots in therapy and care in conjunction with the 14th ACM / IEEE International Conference on Human-Robot Interaction (HRI 2019), Daegu, Korea, March 11–14 2019
Funder
EU, FP7, Seventh Framework Programme, 611391
Available from: 2019-03-12 Created: 2019-03-12 Last updated: 2019-05-23Bibliographically approved
Rosén, J., Richardson, K., Lindblom, J. & Billing, E. (2018). The Robot Illusion: Facts and Fiction. In: Proceedings of Workshop in Explainable Robotics System (HRI): . Paper presented at Workshop in Explainable Robotics System, workshop in conjunction with HRI Human Robot Interaction 2018, Chicago, USA, March, 5-8, 2018.
Open this publication in new window or tab >>The Robot Illusion: Facts and Fiction
2018 (English)In: Proceedings of Workshop in Explainable Robotics System (HRI), 2018Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

"To researchers and technicians working with robots on a daily basis, it is most often obvious what is part of the staging and not, and thus it may be easy to forget that illusions like these are not explicit and the that the general public may actually be deceived. Should the disclosure of the illusion be the responsibility of roboticists? Or should the assumption be that human beings, on the basis of their experiences as an audience in film, theatre, music or video gaming, assume the audience is able to enjoy the experience without needing to know everything in advance about how the illusion is created? Therefore, we believe that a discussion of whether or not researchers should be more transparent in what kinds of machines they are presenting is necessary. How can researchers present interactive robots in an engaging way, without misleading the audience?"

National Category
Robotics
Research subject
Interaction Lab (ILAB); INF302 Autonomous Intelligent Systems
Identifiers
urn:nbn:se:his:diva-14974 (URN)
Conference
Workshop in Explainable Robotics System, workshop in conjunction with HRI Human Robot Interaction 2018, Chicago, USA, March, 5-8, 2018
Projects
Development of Robot-Enhanced therapy for children with AutisM spectrum disorders, Grant no. 611391
Funder
EU, FP7, Seventh Framework Programme, 611391
Available from: 2018-03-21 Created: 2018-03-21 Last updated: 2019-02-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8642-336x

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